Exploration of the trait analysis for trait synchrony.

Parameters: environmental correction is TRUE, correction for the region is FALSE.

Hypotheses

Check all hypotheses between traits and environmental drivers, and among traits

Trait_short Driver_short Expected Direct/indirect Justification Ref observed_corr Fit_to_expectations
Plants
SLA LUI ++ D More nutrients = fast 0.37
LeafN LUI ++ D More nutrients = fast 0.47
LDMC LUI D More nutrients = fast -0.37
Height LUI D Grazing selects for short 0.03 Inconclusive
Seed_mass LUI D Disturbance promotes dispersal with few resources -0.35
Specific_root_length LUI ++ D More nutrients = fast 0.14 Inconclusive
Fine_roots_diameter LUI D Few nutrients = collaboration -0.23
Mycorrhizal_inf_int LUI D Few nutrients = collaboration -0.33
Root_tissue_density LUI D More nutrients = fast -0.22
Root_weight_ratio LUI D Slow: root storage -0.48
Rooting_depth LUI
D Disturbance = smaller (//height?) 0.35
Fine_roots_diameter TWI D Dry = collaboration 0.00 Inconclusive
Mycorrhizal_inf_int TWI D Dry = collaboration 0.00 Inconclusive
Bacteria & fungi
bact_motil LUI +/- D a/ disturbance promotes dispersal or b/ low nutrients mean more mouvement is needed -0.45 B
bact_Size Fertil. +/- D a/ more nutrients makes it easier to grow or b/ slow strategy = big (copiotrophic) -0.38 B
bact_Time LUI ++ D LUI promotes fast bacteria (but in this case overide/TWI) 0.07 Inconclusive
bact_long LUI ++ I oligo=fast are longer (Fierer 2007) 0.33
bact_gensize LUI D Slow/stress resistance = more genes -0.25
FB LUI D and I Fungi slower than bacteria, linked to slow plant traits -0.33
CN LUI D Less N when less nutrients available (copio have lower CN) Fierer 2007 -0.19
fun_spore_size LUI D Small spores = better dispersers; Large spores have more nutrients to survive in nutrient-depleted conditions Crandal el al. 2020, Dawson 2020; Deveautour 2020 0.27
AMF LUI ++ D AMF when few nutrients -0.05 Inconclusive
AMF TWI D AMF prefer dry 0.00 Inconclusive
bact_anaer TWI ++ D Humidity selects anaerobic 0.00 Inconclusive
bact_nitr TWI ++ D More nitrification in wet soils? 0.00 Inconclusive
bact_motil TWI ++ D Easier to move if water 0.00 Inconclusive
bact_Time TWI ++ I Anaerobics are slower 0.00 Inconclusive
bact_spor TWI D More reproduction through sporulation if dry 0.00 Inconclusive
fun_spore_size TWI ++ D Thick spore walls prevent dessication Crandal el al. 2020, Dawson 2020; Deveautour 2020 0.00 Inconclusive
Protists (bact. + primary)
p1_Testate LUI ++ D Teste protects from disturbance -0.25
p1_Parasite LUI ++ I LUI increases plant N… 0.47
p1_Size LUI D Large = slow? -0.50
p1_Testate TWI ++ D Teste protects from dessication 0.00 Inconclusive
p1_Parasite LeafN ++ D and parasites enjoy 0.48
Protists (pred.)
p2_Testate Grazing ++ D Teste protects from disturbance 0.01 Inconclusive
p2_Size LUI D Large = slow? -0.26
p2_Testate TWI ++ D Teste protects from dessication 0.00 Inconclusive
Arthropods (herbivores)
aH_Size LUI +/- D a/ big are also better dispersers or b/ big = slow -0.23 B
aH_Size Mowing D Disturbance selects for smaller -0.20
aH_Dispersal LUI ++ D LUI selects good dispersers 0.25
aH_Generalism LUI ++ I More nutrients -> generalists 0.31
aH_Chewers LUI I Less nutrients = tougher plants -0.01 Inconclusive
Arthropods (predators)
aH_Stratum_herb LUI D More disturbance = less in herb 0.31
aC_Dispersal LUI ++ D LUI selects good dispersers 0.37
aC_Size LUI D Big = slow -0.17
aC_Extraint LUI ++ I More resources -> parasite -0.09 Inconclusive
aC_Stratum_herb LUI D More disturbance = less in herb -0.14 Inconclusive
Arthropods (details)
aAH_Size LUI +/- D a/ big are also better dispersers or b/ big = slow -0.23 B
aAH_Size Mowing D Disturbance selects for smaller -0.20
aAH_Dispersal LUI ++ D LUI selects good dispersers 0.25
aAH_Generalism LUI ++ I More nutrients -> generalists 0.31
aAH_Chewers LUI I Less nutrients = tougher plants -0.01 Inconclusive
aAC_Dispersal LUI ++ D LUI selects good dispersers 0.32
aAC_Size LUI D Big = slow -0.07 Inconclusive
aAC_Extraint LUI ++ I More resources -> parasite -0.13 Inconclusive
aBH_Size LUI +/- D a/ big are also better dispersers or b/ big = slow -0.33 Inconclusive
aBH_Size Mowing D Disturbance selects for smaller -0.26 Inconclusive
aBH_Dispersal LUI ++ D LUI selects good dispersers 0.10 Inconclusive
aBH_Generalism LUI ++ I More nutrients -> generalists -0.45
aBH_Chewers LUI I Less nutrients = tougher plants 0.37 X
aBC_Dispersal LUI ++ D LUI selects good dispersers 0.13 Inconclusive
aBC_Size LUI D Big = slow -0.09 Inconclusive
aBC_Extraint LUI ++ I More resources -> parasite -0.03 Inconclusive
Mites (soil)
mitS_Sex LUI ++ I Habitat openness = sexual repro, more LUI = more growth Salmon et al 2014 0.31
mitS_Mass LUI Mass = size = slow 0.29
mitS_DaystoAdult LUI longer lifespan = slow 0.17 Inconclusive
mitS_Mass Bulk.density Smaller if pores smaller ?? -0.01 Inconclusive
Mites (litter+surface)
mitL_Sex LUI +/- I Habitat openness = sexual repro (easier to find partners). Link to other variables??? Salmon et al 2014 -0.22 B
mitL_Mass LUI +/- -0.10 Inconclusive
mitL_Cuticule LUI +/- -0.19 b
mitL_DaystoAdult LUI longer lifespan = slow 0.02 Inconclusive
mitL_Size TWI D Large = protection against dessication 0.00 Inconclusive
mitL_Size Temperature D Large = protection against frost 0.00 Inconclusive
mitL_Size Bulk.density D Smaller if pores smaller ?? -0.17 Inconclusive
Collembola (Litter+surface)
colL_Size LUI +/- -0.06 Inconclusive
colL_Ocelli LUI +/- 0.14 Inconclusive
colL_Pigment LUI +/- -0.02 Inconclusive
colL_PAO LUI +/- 0.01 Inconclusive
colL_Asp LUI +/- 0.06 Inconclusive
colL_Scales LUI +/- 0.03 Inconclusive
Collembola (soil)
colS_Size Bulk.density D Smaller if pores smaller -0.16 Inconclusive
colS_PAO LUI +/- 0.04 Inconclusive
colS_PSO LUI +/- -0.10 Inconclusive
colS_Scales LUI +/- 0.14 Inconclusive
colS_Furca Grazing ++ Furca = escape disturbance 0.03 Inconclusive

Big PCA

## Registered S3 methods overwritten by 'car':
##   method                          from
##   influence.merMod                lme4
##   cooks.distance.influence.merMod lme4
##   dfbeta.influence.merMod         lme4
##   dfbetas.influence.merMod        lme4

Identification of strategy axes for each group

Environmental PCA

## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.

Plants, above- and below-ground

## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.

## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.

Bacteria & fungi

Protists

## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.

Arthropods, above-ground

Herbivores

## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.

### Predators

## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.

Mites & collembola

## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.
## Coordinate system already present. Adding new coordinate system, which will replace the existing one.

Try to do a SEM

First solution: do it on PCA axes

## lavaan 0.6-7 ended normally after 18 iterations
## 
##   Estimator                                         ML
##   Optimization method                           NLMINB
##   Number of free parameters                         27
##                                                       
##   Number of observations                           150
##                                                       
## Model Test User Model:
##                                                       
##   Test statistic                                 6.224
##   Degrees of freedom                                 9
##   P-value (Chi-square)                           0.717

Second solution: do it on trait averages

## lavaan 0.6-7 ended normally after 29 iterations
## 
##   Estimator                                         ML
##   Optimization method                           NLMINB
##   Number of free parameters                         26
##                                                       
##   Number of observations                           150
##                                                       
## Model Test User Model:
##                                                       
##   Test statistic                                12.304
##   Degrees of freedom                                10
##   P-value (Chi-square)                           0.265